581 search results - page 17 / 117 » Nonstationary kernel combination |
141
Voted
ICANN
2003
Springer
15 years 8 months ago
2003
Springer
Abstract. The growth in amount of data available today has encouraged the development of effective data analysis methods to support human decision-making. Neuro-fuzzy computation ...
144
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JMLR
2006
15 years 3 months ago
2006
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
147
Voted
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
120
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IJON
2006
15 years 3 months ago
2006
We present a framework for efficient extrapolation of reduced rank approximations, graph kernels, and locally linear embeddings (LLE) to unseen data. We also present a principled ...
119
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PKDD
2009
Springer
15 years 10 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...